Discovery is not the same as control
Logs can show waste, but they cannot prevent it. Pre-model control can reduce context. A full inference gateway can route, cache, verify, block retries and run targeted fallback.
Why the request path matters
The strongest savings happen when ML Mind can act before and after model execution, connecting user intent, context, model output, verification and policy.
How to apply this with ML Mind
Use this topic as a discovery lens. Start by identifying the workflow, measuring the current waste pattern, then deciding whether the right control is visibility, pre-model optimization, full gateway control, ModelOps serving control or lifecycle governance.
Recommended next step: open the related simulator or calculator, test the pattern with your approximate numbers, then request a deployment review if the savings lever appears material.